永磁同步直线电机模糊预测控制策略

为了解决模型预测控制寻求最优控制变量时,由于权重系数选取不合理而导致的实际电流不能紧密跟随给定或预测输出电压波动过大的问题,提出了一种基于模糊控制动态选择权重系数的模型预测控制方法。将模糊控制应用到选取权重系数中,把最优权重系数在线输送给当前正在运行的模型预测控制系统;通过3组试验对不同的权重系数进行仿真、对比和分析,得出权重系数的合理区间。仿真结果表明,基于模糊控制的权重系数具有良好的兼顾性能,当负载变化剧烈时,电机的鲁棒性较好,电流可以紧密跟随给定;当负载变化平缓时,在满足电流可以跟随给定的条件下,输出电压的波动会减小。改进后的控制系统具有较强的抗扰动能力,可以根据负载变化需求自动变化权重系数,为永磁同步直线电机的控制设计提供参考。

Fuzzy predictive control strategy of permanent magnet linear synchronous motor

In order to solve the problem that the actual current cannot closely follow the given current or the predicted output voltage fluctuates too much due to the unreasonable selection of the weight coefficient when the model predictive control seeks the optimal control variable, a model predictive control method based on fuzzy control dynamically selecting weight coefficients was proposed. Fuzzy control was applied to the selection of the weight coefficient, and the optimal weight coefficients can be sent to the currently running model predictive control system online. Three groups of experiments were conducted for the simulation, comparison and analysis of different weight coefficients, and the reasonable interval of the weight coefficient was obtained. The simulation results show that the weight coefficient based on fuzzy control has good performance. When the load change is severe, the robustness of the motor is well, and the current can closely follow the given current; When the load change is gentle, the output voltage fluctuation will be reduced under the condition that the current can follow the given current. The improved control system improves the anti-disturbance ability, and the weight coefficient can be changed automatically according to the actual demand, which provides some reference for the control design of permanent magnet linear synchrous motor.